深度学习通信领域相关经典论文、数据集整理分享

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我是靠谱客的博主安详早晨，最近开发中收集的这篇文章主要介绍深度学习通信领域相关经典论文、数据集整理分享，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

随着深度学习的发展，使用深度学习解决相关通信领域问题的研究也越来越多。作为一名通信专业的研究生，如果实验室没有相关方向的代码积累，入门并深入一个新的方向会十分艰难。同时，大部分通信领域的论文不会提供开源代码，reproducible research比较困难。
基于深度学习的通信论文这几年飞速增加，明显能感觉这些论文的作者更具开源精神。本项目专注于整理在通信中应用深度学习，并公开了相关源代码的论文。

本文资源整理自网络，源地址：https://github.com/IIT-Lab/Paper-with-Code-of-Wireless-communication-Based-on-DL

论文列表

Deep Learning for SVD and Hybrid Beamforming

Neural Mutual Information Estimation for Channel Coding: State-of-the-Art Estimators, Analysis, and Performance Comparison

Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems

Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN

A Model-Driven Deep Learning Method for Normalized Min-Sum LDPC Decoding

Complex-Valued Convolutions for Modulation Recognition using Deep Learning

Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning

Wireless link adaptation - a hybrid data-driven and model-based approac

hDeep unfolding of the weighted MMSE algorithm

Learn to Compress CSI and Allocate Resources in Vehicular Networks

Benchmarking End-to-end Learning of MIMO Physical-Layer Communication

Learned Conjugate Gradient Descent Network for Massive MIMO Detection

Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approac

hDeep Soft Interference Cancellation for MIMO Detection

Reinforcement Learning Based Scheduling Algorithm for Optimizing Age of Information in Ultra Reliable Low Latency Networks

Decoder-in-the-Loop: Genetic Optimization-based LDPC Code Design

MaMIMO CSI-based positioning using CNNs: Peeking inside the black box

Learning Combinatorial Optimization Algorithms over Graphs

Extending the RISC-V ISA for Efficient RNN-based 5G Radio Resource Management

Power Allocation in Multi-user Cellular Networks With Deep Q Learning Approac

hPower Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches

Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation

Federated Learning over Wireless Networks: Optimization Model Design and Analysis

Deep learning based end-to-end wireless communication systems with conditional GAN as unknown channel

Intelligent Resource Allocation in Wireless Communications Systems

Spatio-Temporal Representation with Deep Recurrent Network in MIMO CSI Feedback

Neural Network Aided SC Decoder for Polar Codes

Exploiting Bi-Directional Channel Reciprocity in Deep Learning for Low Rate Massive MIMO CSI Feedback

Performance Evaluation of Channel Decoding With Deep Neural Networks

Learning the MMSE Channel Estimator

Deep Deterministic Policy Gradient (DDPG)-Based Energy Harvesting Wireless Communications

Model-Aware Deep Architectures for One-Bit Compressive Variational Autoencoding

CSI-based Positioning in Massive MIMO systems using Convolutional Neural Networks

Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6GHz Channels

Deep Learning for Channel Coding via Neural Mutual Information Estimation

Deep Learning for the Gaussian Wiretap Channel

Multi-resolution CSI Feedback with deep learning in Massive MIMO System

Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks

Mobility-Aware Centralized Reinforcement Learning for Dynamic Resource Allocation in HetNets

Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems

Deep Learning-Based Detector for OFDM-IM

Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels

Learning to Communicate in a Noisy Environment

Low-rank mmWave MIMO channel estimation in one-bit receivers

Deep Learning for Massive MIMO with 1-Bit ADCs: When More Antennas Need Fewer Pilots

ns-3 meets OpenAI Gym: The Playground for Machine Learning in Networking Researc

hTurbo Autoencoder: Deep learning based channel code for point-to-point communication channels

Communication Algorithms via Deep Learning

Towards Optimal Power Control via Ensembling Deep Neural Networks

Low-Precision Neural Network Decoding of Polar Codes

A Graph Neural Network Approach for Scalable Wireless Power Control

CNN-based Precoder and Combiner Design in mmWave MIMO Systems

Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification

An Open-Source Framework for Adaptive Traffic Signal Control

A CNN-Based End-to-End Learning Framework Towards Intelligent Communication Systems

Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding

Adaptive Neural Signal Detection for Massive MIMO

Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks

Q-Learning Algorithm for VoLTE Closed-Loop Power Control in Indoor Small Cells

Spectrum sharing in vehicular networks based on multi-agent reinforcement learning

Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors

Learning Physical-Layer Communication with Quantized Feedback

Decentralized Scheduling for Cooperative Localization with Deep Reinforcement Learning

Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks

MIST: A Novel Training Strategy for Low-latencyScalable Neural Net Decoders

Deep UL2DL: Channel Knowledge Transfer from Uplink to Downlink

Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency

Machine Learning meets Stochastic Geometry: Determinantal Subset Selection for Wireless Networks

Learning Based Power Control for mmWave Massive MIMO against Jamming

Sparsely Connected Neural Network for Massive MIMO Detection

Power Allocation in Multi-Cell Networks Using Deep Reinforcement Learningg

Deep Learning in Downlink Coordinated Multipoint in New Radio Heterogeneous Networks

Deep Reinforcement Learning for Resource Allocation in V2V Communications

RF-based Direction Finding of UAVs Using DNN

Deepcode: Feedback Codes via Deep Learning

Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems

AIF: An Artificial Intelligence Framework for Smart Wireless Network Management

Deep-Learning-Power-Allocation-in-Massive-MIMO

DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications

Fast Deep Learning for Automatic Modulation Classification

Deep Learning-Based Channel Estimation

Transmit Power Control Using Deep Neural Network for Underlay Device-to-Device Communication

Deep learning-based channel estimation for beamspace mmWave massive MIMO systems

Spatial deep learning for wireless scheduling

Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approac

hA deep-reinforcement learning approach for software-defined networking routing optimization

Q-Learning Algorithm for VoLTE Closed-Loop Power Control in Indoor Small Cells

Deep Learning for Optimal Energy-Efficient Power Control in Wireless Interference Networks

Actor-Critic-Based Resource Allocation for Multi-modal Optical Networks

Deep MIMO Detection

Learning to Detect

An iterative BP-CNN architecture for channel decoding

On Deep Learning-Based Channel Decoding

DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls

Deep Q-Learning for Self-Organizing Networks Fault Management and Radio Performance Improvement

An Introduction to Deep Learning for the Physical Layer

Convolutional Radio Modulation Recognition Networks

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks

Joint Transceiver Optimization for WirelessCommunication PHY with Convolutional NeuralNetwork

Deep Learning for Massive MIMO CSI Feedback

Beamforming Design for Large-Scale Antenna Arrays Using Deep Learning

5G MIMO Data for Machine Learning: Application to Beam-Selection using Deep Learning

Deep multi-user reinforcement learning for dynamic spectrum access in multichannel wireless networks

DeepNap: Data-Driven Base Station Sleeping Operations through Deep Reinforcement Learning

Automatic Modulation Classification: A Deep Learning Enabled Approac

hDeep Architectures for Modulation Recognition

Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks

Learning to optimize: Training deep neural networks for wireless resource management

Implications of Decentralized Q-learning Resource Allocation in Wireless Networks

Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems

数据集

MASSIVE MIMO CSI MEASUREMENTS

SM-CsiNet+ and PM-CsiNet+:来自论文Convolutional Neural Network based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis

An open online real modulated dataset:来自论文Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics。

To the best of our knowledge,this is the first open dataset of real modulated signals for wireless communication systems.

RF DATASETS FOR MACHINE LEARNING

open datase:来自论文Signal Demodulation With Machine Learning Methods for Physical Layer Visible Light Communications: Prototype Platform, Open Dataset, and Algorithms